摘要
针对光学区雷达目标散射中心参量的快速提取,提出用特征值分解的最小模方法、传播因子和最小模相结合的方法,提高散射中心参量的估计效率。特征值分解的最小模方法在减少计算量的同时能获得类似多重信号分类算法的性能,在信噪比较低时仍然有效;传播因子方法比特征值分解快,在信噪比较高时,它和最小模方法结合能取得更快的搜索效率。仿真实验结果表明该文算法几乎不影响参量的估计精度,且能有效地提高参量估计效率。
For fast parameter extraction of target scattering centers in optical region,this paper proposes to use a mini-norm method based on eigenvalue decomposition or propagation factor to improve parameter estimation efficiency of scattering centers.The mini-norm method based on eigenvalue decomposition can decrease computational loads and achieve estimation performances similar to the multiple signal classification algorithm,which works even when SNR is low.The propagation factor method is faster than eigenvalue decomposition method and the mini-norm method based on propagation factor is more effective with high SNR.Simulation results show that the proposed algorithm can improve parameter estimation efficiency and keep parameter estimation accurate.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第4期503-507,共5页
Journal of Nanjing University of Science and Technology
基金
江苏省"六大人才高峰"计划资助项目(A类)(P0952-041)
关键词
散射中心
最小模
传播因子
scattering centers
mini-norm
propagation factors
